Dataset

Optimising the classification of feature-based attention in frequency-tagged electroencephalography data

The University of Queensland
Professor Jason Mattingley (Author)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.14264/ed3c0c9&rft.title=Optimising the classification of feature-based attention in frequency-tagged electroencephalography data&rft.identifier=10.14264/ed3c0c9&rft.publisher=The University of Queensland&rft.description=The data repository for the feature-based attention classification dataset contains four top level folders. Top level folders include “FeatAttnClassification\ExperimentalTask\”, which contains the MATLAB code used to run the experimental task, “FeatAttnClassification\Data\”, which contains all EEG and behavioural data, “FeatAttnClassification\AnalysisScripts\”, which contains the code used for technical validation, and “FeatAttnClassification\Results\”, which contains the files output by the analysis scripts. The data folder follows the BIDS specification for folder hierarchy. Critical information regarding the experimental task parameters, display settings, EEG recording settings and triggers is contained in the file “FeatAttnClassification\Data\helperdata.mat”. &rft.creator=Professor Jason Mattingley&rft.date=2021&rft_subject=electroencephalography&rft.type=dataset&rft.language=English Access the data

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Open Access

Permitted Re-use with Acknowledgement

Contact Information

a.renton@uq.edu.au

Full description

The data repository for the feature-based attention classification dataset contains four top level folders. Top level folders include “FeatAttnClassification\ExperimentalTask\”, which contains the MATLAB code used to run the experimental task, “FeatAttnClassification\Data\”, which contains all EEG and behavioural data, “FeatAttnClassification\AnalysisScripts\”, which contains the code used for technical validation, and “FeatAttnClassification\Results\”, which contains the files output by the analysis scripts. The data folder follows the BIDS specification for folder hierarchy. Critical information regarding the experimental task parameters, display settings, EEG recording settings and triggers is contained in the file “FeatAttnClassification\Data\helperdata.mat”.

Issued: 2021

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